Technical Solutions Engineer
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At a glance
Job overview
datadotorg is hiring a Technical Solutions Engineer. DataKind seeks a hands‑on Technical Solutions Engineer to drive data integration, solution design, and cross‑team technical partnership from discovery through deployment, working remotely across the United States in a temporary full‑time staff role.
Key focus areas include Directly build and ship technical work for institution onboarding by writing and modifying code, pipelines, and configuration, Configure, validate, and troubleshoot data mappings, schema alignment, and data flows for each institution, and Anticipate integration risks and unblock issues independently before they stall a deployment.
Successful candidates bring Alignment With DataKind's Mission And Values, Commitment To Educational Equity, and Commitment To Data-Driven Social Impact. Important skills include Writing Code, Modifying Code, Data Pipeline, Configuration, Data Mappings, and Schema Alignment. Preferred (not required): Understanding Data Privacy, Understanding Security Requirements, and Understanding Accessibility Requirements.
Skills & qualifications
Skills
Qualifications
Full job description
In A Nutshell Location
Remote Anywhere in United States
Salary
$133,000 - $145,000 / year
Job Type
Full-time
Experience Level
Mid-level
Deadline to apply
August 28, 2026
DataKind is looking for a hands-on Technical Solutions Engineer to drive data integration, solution design, and cross-team technical partnership from discovery through deployment. This is a temporary, full-time staff position with an anticipated end date of September 30, 2028.
Responsibilities Implementation and Delivery
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Directly build and ship the technical work each institution’s onboarding requires – writing and modifying code, pipelines, and configuration to connect their systems to ours.
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Configure, validate, and troubleshoot data mappings, schema alignment, and data flows specific to each institution’s environment.
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Anticipate integration risks and unblock issues independently before they stall a deployment.
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Build reusable technical assets: reference architectures, integration playbooks, mapping templates so that each institution onboards faster than the last. Technical Partner Engagement
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Serve as the primary technical point of contact for participating higher education institutions, partnering closely with the account/success manager on each relationship
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Lead technical discovery: understand each institution’s data landscape and translate it into integration and governance requirements and a recommended solution design, while being aware of the internal technical and product roadmap and constraints
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Run solution design and architecture conversations with institutional IT, data, and IR teams, scoping integrations, defining data flows, and setting realistic technical expectations
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Produce integration specs, and technical implementation plans tailored to each institution’s environment, governance needs, and constraints
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Translate our platform’s capabilities and roadmap accurately back to institutions, and translate institutional technical feedback into clear requirements for internal Technology and Product teams. Cross-Functional Alignment
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Partner with Engineering and Product to confirm proposed integration solutions are feasible and align with platform direction.
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Surface recurring technical patterns and gaps across institutions to inform product priorities.
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Maintain a clear, shared view of each engagement’s technical status, open issues, and dependencies. Skillset Required
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Deep alignment with DataKind’s mission and values , and demonstrated commitment to educational equity and data-driven social impact
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5+ years in hands-on technical implementation, or solutions architecture, including direct client- or partner-facing delivery.
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Must have personally written and shipped production code, data pipelines, and system integrations, not just directed others.
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Able to independently configure and troubleshoot data mappings, schema alignment, and data flows; proficient in SQL and a scripting language, Python preferred.
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Comfortable running technical discovery directly with institutional IT/data teams and unblocking issues without routing to Engineering. Preferred
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Experience in higher education, either as a client-side technical stakeholder or at a data integration vendor serving higher ed
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Understanding of data privacy, security, and accessibility requirements in education contexts.
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Background as a software engineer, data scientist, or similar technical role. Apply Now Spot any inaccurate information? Have a job to share? Let us know.
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